To install on iPhone: tap Share, then “Add to Home Screen”.
In the claude.ai version, tap Back up all data on the Records tab, then choose that file here. Sites, records, cameras, phenology and lab results are copied. Photos stay in the claude.ai version.
Use the email and password your project leader gave you. After the first sign-in the app also opens without internet.
This copy of DaviGherbivores isn't connected to a database yet. Open firebase-config.js and paste the settings from your Firebase project, as described in the setup guide.
Record every plant in the plot, browsed or not. The analysis compares what was eaten with what was available.
Stand at the plot centre and tap Use my location. The plot stays filled in until you change it.
Lay the leaf flat on white paper. Put a dark reference square, or a coin, beside it without touching. Hold the phone straight above, in shade without hard shadows.
Claude suggests likely species from your photo. Treat it as a second opinion and confirm in the field or with a specialist.
Give each sampled plant a lab sample ID on the Record tab. When results arrive, import them as a CSV with a sample_id column and any of CP, NDF, ADF, ADL, CT, TP, Ash, DM (% of dry matter). The template lists your sample IDs.
Monthly greenness (Sentinel-2 NDVI) for the study site, without a field visit. Higher NDVI means more green leaves; around 0.2 is dry and leafless.
Run the phenology script in Google Earth Engine, export Makuyuni_monthly_NDVI_per_point.csv to Drive, then import it here. It replaces the data for the site selected above.
Register each camera, load the photos from its card, and enter the species in each photo. Results show detection rates, daily activity, and links to browsing and phenology.
Choose up to 40 photos at a time from the camera's card. The date and time are read from each photo.